Parametric Model Order Reduction by Matrix Interpolation

被引：153

作者：

Panzer, Heiko ^{[1
]}

Mohring, Jan ^{[2
]}

Eid, Rudy ^{[1
]}

Lohmann, Bork ^{[1
]}

机构：

[1] Tech Univ Munich, Inst Automat Control, Fac Mech Engn, D-85748 Garching, Germany

[2] Fraunhofer Inst Techno & Wirtschaftsmath, Dept Transport Proc, D-67663 Kaiserslautern, Germany

来源：

AT-AUTOMATISIERUNGSTECHNIK | 2010年 / 58卷 / 08期

关键词：

Order reduction; parametric model order reduction; interpolation; LTI systems;

D O I：

10.1524/auto.2010.0863

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, a new framework for model order reduction of LTI parametric systems is introduced. After generating and reducing several local original models in the parameter space, a parametric reduced-order model is calculated by interpolating the system matrices of the local reduced models. The main task is to find compatible system representations with optimal interpolation properties. Two approaches for this purpose are presented together with several numerical simulations.

引用

页码：475 / 484

页数：10

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